Evidence map›Paper›PMID 40091040›Full record

ArticleBMC plant biology2025

Comparative transcriptome and genome analysis between susceptible Zhefang rice variety Diantun 502 and its resistance variety Diantun 506 upon Magnaporthe oryzae infection.

Owais Iqbal, Xinyun Yang, Ziyi Wang, Dandan Li, Jiancheng Wen, Jiasheng Ding, Chun Wang, Chengyun Li, Yi Wang

Abstract readComparative Study
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Frontiers in plant science · 2026
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  3. Article
  4. Article
  5. Mechanisms behindFrontiers in plant science · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Owais IqbalState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China.
Xinyun YangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China.
Ziyi WangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China.
Dandan LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China.
Jiancheng WenState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China.
Jiasheng DingDehong Plant Protection Plant Inspection Station, Yunnan, China.
Chun WangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China.
Chengyun LiState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China. lichengyun@ynau.edu.cn.
Yi WangState Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, Yunnan, China. wyi_0114@ynau.edu.cn.

Funding

Basic Research Special Project in Yunnan 202401BD070001-013Major Science and Technology Projects in Yunnan 202402AE090026The National Key R&D Program of China 2023YFD1400800The National Natural Science Foundation of China 32202254, 32260711the Yunnan Provincial Talent Program for Wang Yi XDYC-QNRC 2023-0421
6 · The paper itself

Abstract

backgroundRice blast caused by Magnaporthe oryzae is the most severe and devastating disease in rice results in serious losses worldwide. Based on this, the interaction between rice and M. oryzae has been studied extensively for decades, but the pathogen always has a negative effect on the new and emerging rice varieties.

resultsThe present study employed comparative transcriptome strand-specific RNA sequencing and genome approaches of Diantun rice susceptible (D502) and resistance (D506) lines (leaves) in the presence of blast fungus, M. oryzae. Overall differential expression genes (DEGs) displayed 5838 and 3719 DEGs in D502 and D506, respectively 24hpi, however, the expression of DEGs in the former line was 5113, and in later line it was 4794 after 48hpi. Interestingly, only 2493 and 2418 DEGs were similar at both time hour points in both lines, respectively. Among DEGs, mostly exhibited down-regulated expression only in D502 major pathways, including plant hormones signal transduction and starch and sucrose metabolism at both time hours, suggesting susceptibility D502 on upon pathogen infection. Additionally, protein-protein interaction network analysis based on DEGs was performed between both varieties to find possible connections and increase interaction network complexity at 24h to 48h in D506, that might result in resistance to M. oryzae. We found many up and down-regulated DEGs only in D506 after pathogen infection, which might have a significant role in PTI and ETI immunity response. Next, through genomic analysis, different non-synonymous single nucleotide polymorphisms (nsSNPs) were identified between both D502 and D506 rice varieties. Here, four up-regulated genes, including WAK1, WAK4, WAK5, and OsDja9 harboring nsSNPs were found only in resistant D506 variety. Following alignment of open reading frame (ORF) region sequences revealed that the exonic SNPs lead the amino acid variation.

conclusionOur study proved that SNPs in these four genes were related to providing resistance in D506 line upon pathogen infection. In summary, we conclude that above-targeted rice defense and resistance genes identified through gene transcripts and modern genomic approaches could help us provide robust rice breeding and agricultural practices in future.

Indexed as

AscomycotaDisease ResistanceOryzaPlant DiseasesTranscriptomeGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantDefenseGenomicsPathogenResistanceRiceTranscriptomics

Identifiers

PMID40091040
PMCPMC11912658

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.